Abstract. This article develops a method for implementing a simulated multivariate
random-effects probit model for unbalanced panels (with gaps) and illustrates
the model by using artificial data. Halton draws generated by mdraws are used to
simulate multivariate normal probabilities with the mvnp()egen function. The estimator
can be easily adjusted, for example, to allow for autocorrelated errors. The
advantages of this simulated estimation, when compared with existing commands
such as redpace, are high accuracy and improved stability.